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#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]

2023-03-11 · 179 min · episode 106 · 12 entities

episode page audio

Asserted relationships

  • 0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725
  • → references How Emotions Are Made Secret book
    0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON
  • → references Integrated Information Theory person
    0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://en.wikipedia.org/wiki/Integrated_information_theory
  • → discusses Technology company
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    evidence rules-v4
    Feed category: Technology
  • → references Mlst website
    0.38
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": http://numer.ai/mlst

Entities found in this episode

books 4

  • 0.90
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725
  • 0.90
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON
  • 0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725
  • 0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON

websites 3

  • mentioned Mlst website
    0.45
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": http://numer.ai/mlst
  • references Mlst website
    0.38
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": http://numer.ai/mlst
  • mentioned ~Karl website
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    evidence rules-v4
    KARL

persons 2

  • 0.90
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://en.wikipedia.org/wiki/Integrated_information_theory
  • references Integrated Information Theory person
    0.77
    evidence rules-v4
    Link in episode "#106 - Prof. KARL FRISTON 3.0 - Collective Intelligence [Special Edition]": https://en.wikipedia.org/wiki/Integrated_information_theory

companys 2

  • mentioned Technology company
    0.50
    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
    0.40
    evidence rules-v4
    Feed category: Technology

podcasts 1

Episode description as stored
This show is sponsored by Numerai, please visit them here with our sponsor link (we would really appreciate it) http://numer.ai/mlst Prof. Karl Friston recently proposed a vision of artificial intelligence that goes beyond machines and algorithms, and embraces humans and nature as part of a cyber-physical ecosystem of intelligence. This vision is based on the principle of active inference, which states that intelligent systems can learn from their observations and act on their environment to reduce uncertainty and achieve their goals. This leads to a formal account of collective intelligence that rests on shared narratives and goals. To realize this vision, Friston suggests developing a shared hyper-spatial modelling language and transaction protocol, as well as novel methods for measuring and optimizing collective intelligence. This could harness the power of artificial intelligence for the common good, without compromising human dignity or autonomy. It also challenges us to rethink our relationship with technology, nature, and each other, and invites us to join a global community of sense-makers who are curious about the world and eager to improve it. YT version: https://www.youtube.com/watch?v=V_VXOdf1NMw Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 TOC: Intro [00:00:00] Numerai (Sponsor segment) [00:07:10] Designing Ecosystems of Intelligence from First Principles (Friston et al) [00:09:48] Information / Infosphere and human agency [00:18:30] Intelligence [00:31:38] Reductionism [00:39:36] Universalism [00:44:46] Emergence [00:54:23] Markov blankets [01:02:11] Whole part relationships / structure learning [01:22:33] Enactivism [01:29:23] Knowledge and Language [01:43:53] ChatGPT [01:50:56] Ethics (is-ought) [02:07:55] Can people be evil? [02:35:06] Ethics in Al, subjectiveness [02:39:05] Final thoughts [02:57:00] References: Designing Ecosystems of Intelligence from First Principles (Friston et al) https://arxiv.org/abs/2212.01354 GLOM - How to represent part-whole hierarchies in a neural network (Hinton) https://arxiv.org/pdf/2102.12627.pdf Seven Brief Lessons on Physics (Carlo Rovelli) https://www.amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725 How Emotions Are Made: The Secret Life of the Brain (Lisa Feldman Barrett) https://www.amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON Am I Self-Conscious? (Or Does Self-Organization Entail Self-Consciousness?) (Karl Friston) https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00579/full Integrated information theory (Giulio Tononi) https://en.wikipedia.org/wiki/Integrated_information_theory